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Applied Artificial Immune Systems
Dolejší, Petr ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
This final year thesis introduces the principles and properties of the artificial immune systems to the reader, then abstracts the principles from this knowledge and applies the real artificial immune systems on them. It provides a view at the practical applications that use and extend given ideas.
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Spam Filter Implementation on the Basis of Artificial Immune Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Unsolicited e-mails generally present a major problem within the e-mail communication nowadays. There exist several methods that can detect spam and distinguish it from the requested messages. The theoretical part of the masters thesis introduces the ways of detecting unsolicited messages by using artificial immune systems. It presents and subsequently analyses several methods of the artificial immune systems that can assist in the fight against spam. The practical part of the masters thesis deals with the implementation of a spam filter on the basis of the artificial immune systems. The project ends with comparison of effectiveness of the newly designed spam filter and the one which uses common methods for spam detection.
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Artificial Immune Systems for Spam Detection
Hohn, Michal ; Sekanina, Lukáš (referee) ; Schwarz, Josef (advisor)
This work deals with creating a hybrid system based on the aggregation of artificial immune system with appropriate heuristics to make the most effective spam detection. This work describes the main principles of biological and artificial immune system and conventional techniques to detect spam including several classifiers. The developed system is tested using well known database corpuses and a comparison of the final experiments is made.
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Artificial Immune Computational Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Artificial immune computational system is a relatively new branch in the area of computer systems. This bachelors thesis presents the fact that we can be inspired by biological immune systems and that we can use their attributes and principles in the artificial immune computational systems. On the following pages you can meet several examples, where and how the principles had been already used. The last part of this work is devoted to implementation of educational material into the lesson ( http://www.stud.fit.vutbr.cz/~xneuwi00/AIS/ ).
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Artificial Immune Computational Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Artificial immune computational system is a relatively new branch in the area of computer systems. This bachelors thesis presents the fact that we can be inspired by biological immune systems and that we can use their attributes and principles in the artificial immune computational systems. On the following pages you can meet several examples, where and how the principles had been already used. The last part of this work is devoted to implementation of educational material into the lesson ( http://www.stud.fit.vutbr.cz/~xneuwi00/AIS/ ).
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Artificial Immune Systems for Spam Detection
Hohn, Michal ; Sekanina, Lukáš (referee) ; Schwarz, Josef (advisor)
This work deals with creating a hybrid system based on the aggregation of artificial immune system with appropriate heuristics to make the most effective spam detection. This work describes the main principles of biological and artificial immune system and conventional techniques to detect spam including several classifiers. The developed system is tested using well known database corpuses and a comparison of the final experiments is made.
|
|
|
Spam Filter Implementation on the Basis of Artificial Immune Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Unsolicited e-mails generally present a major problem within the e-mail communication nowadays. There exist several methods that can detect spam and distinguish it from the requested messages. The theoretical part of the masters thesis introduces the ways of detecting unsolicited messages by using artificial immune systems. It presents and subsequently analyses several methods of the artificial immune systems that can assist in the fight against spam. The practical part of the masters thesis deals with the implementation of a spam filter on the basis of the artificial immune systems. The project ends with comparison of effectiveness of the newly designed spam filter and the one which uses common methods for spam detection.
|
|
|
Applied Artificial Immune Systems
Dolejší, Petr ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
This final year thesis introduces the principles and properties of the artificial immune systems to the reader, then abstracts the principles from this knowledge and applies the real artificial immune systems on them. It provides a view at the practical applications that use and extend given ideas.
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